Sentence examples for informatics evaluations from inspiring English sources

Exact(2)

The objectives and methods of informatics evaluations depend on the type of application and the stage of development.

The frequent use of quasi-experimental designs in medical informatics evaluations has been noted previously [ 91, 92], and the results of this review are consistent.

Similar(58)

In addition, reporting quality of health informatics evaluation studies has to be substantially improved.

In health informatics evaluation, there is a need for application of new ideas and methods from the fields of cognitive science and usability engineering.

Thorough bio-informatic evaluation of novel variants was done using Alamut software (v.1.5).

The risk analysis model was then used to compute the informatics of disease evaluation and guidance criteria.

Serum protein profiles from patients with AECOPD were assessed by different strategies of proteomics on days 1 and 3 of the admission day and the discharging day and correlated with clinical informatics by a Digital Evaluation Score System for assessing severity of patients.

The amount and breadth of data captured by informatics approaches will facilitate evaluation of both uncertainty (e.g., measurement error) and variability (e.g., among species, in humans), as recommended by the NRC (2009).

Each fellow received 8 weeks of didactic modules held at one of the African partner institutions and three online modules to enhance fellows' foundation in leadership, communication, monitoring and evaluation, health informatics, research methodology, grant writing, implementation science, and responsible conduct of research.

Further, CDSS evaluation studies appear to be insulated from evaluations of other informatics applications.

Topics include (1) overview of biomedical informatics, (2) design, function, and evaluation of clinical information systems, (3) clinical decision making and practice guidelines, (4) clinical decision support systems, (5) informatics support of clinical research, (6) privacy and confidentiality of clinical data, (7) standards, and (8) topics in translational bioinformatics.

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